控制理论与应用2024，Vol.41Issue(5)：923-930,8.DOI:10.7641/CTA.2023.20489
永磁容错游标轮缘推进电机改进模型预测转矩控制
Improved model predictive torque control of permanent magnet fault tolerant vernier rim-drive motor
摘要
Abstract
In order to improve the control performance of fault tolerant permanent magnet vernier rim driven moter(FTPMV-RDM)under normal state and one phase open circuit fault state,an improved model predictive torque control(MPTC)method based on the voltage vector preselection is proposed.In view of the large number of alternative voltage vectors provided by six phase independent H-bridge inverter,which leads to the large amount of calculation of MPTC system,the preselected voltage vector is determined by using torque,flux error and stator flux position information in direct torque control to reduce the enumeration times of voltage vector in MPTC system,and then the optimal voltage vector is obtained by secondary screening using value function.In order to realize fault-tolerant control under open circuit fault,an open circuit fault-tolerant control strategy of replacing alternative voltage vector meter is proposed.The experimental results show that the FTPMV-RDM model predictive torque control algorithm based on the voltage vector preselection can suppress current distortion without fault and one-phase open circuit fault,and then effectively reduce torque and flux ripple.关键词
永磁容错游标轮缘推进电机/模型预测转矩控制/容错控制/电压矢量预选Key words
fault tolerant permanent magnet vernier rim-drive motor/model prediction torque control/fault tolerant control/voltage vector preselection引用本文复制引用
安达,朱景伟,李想,乔田怀,郑杰阳..永磁容错游标轮缘推进电机改进模型预测转矩控制[J].控制理论与应用,2024,41(5):923-930,8.基金项目
国家自然科学基金项目(52377037),中央高校基本科研业务费专项项目(3132023522),国防科技大学装备综合保障技术重点实验室稳定支持项目(WDZC20235250309)资助.Supported by the National Natural Science Foundation of China(52377037),the Fundamental Research Funds for the Central Universities of China(3132023522)and the Stability Support Project of the Laboratory of Science and Technology on Integrated Logistics Support,National University of Defense Technology(WDZC20235250309). （52377037）
